Hyperquery
Hyperquery is a data notebook that enables you to easily build shareable analyses in SQL and Python.
Hyperquery vs VS Code:
a side-by-side comparison for 2024
Comparing two data science notebooks.
VS Code
Visual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.
Hyperquery
VS Code
Setup
Fully managed (setup in minutes)
No, you must host it yourself
Can you self-host?
Can you self-host?
No, you must use a managed offering
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Not Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
Python
SQL
Jupyter languages (e.g. Python, R)
What kind of data sources can you connect to?
What kind of data sources can you connect to?
Connect to data warehouses (AWS, GCP, etc.)
Connect to databases (Postgres, MS SQL, etc.)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
What kind of data visualization can you do?
What kind of data visualization can you do?
UI for building charts
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity
Reactivity
No reactivity, you decide the execution order
No reactivity, you decide the execution order
No notebook scheduling
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
Environments are reproducible by default
There is no support for reproducibility
Version history is built in
File-based (use Git)
Multiple editors at the same time
File-based (use Git)
Comments
Comments
Comment on items within a notebook
File-based (use GitHub)
Notebook organization
Notebook organization
View notebooks in a tree, like a wiki
File-based
Licensing
License
License
Proprietary
Open-source (MIT)
Price
Price
Free tier
Pay-per-user
Free